记录paddlepaddle-gpu安装

背景

由于最近需要使用paddleocr，因此需要安装依赖paddlepaddle-gpu，不管怎么安装cuda11.6-11.8安装了一遍，都无法正常安装成功。如下所示：

环境：wsl2+linux18.04

>>> import paddle >>> paddle.utils.run_check()

报错如下：

PreconditionNotMetError: Cannot load cudnn shared library. Cannot invoke method cudnnGetVersion. [Hint: cudnn_dso_handle should not be null.] (at ../paddle/phi/backends/dynload/cudnn.cc:64) [operator < fill_constant > error] 尝试

blog.csdn.net/qq451882471/article/details/106967942 blog.csdn.net/weixin_44065323/article/details/110082334

根据上面两位大佬的做法，无法解决；怀疑是cuda和cudnn版本不一致，各种版本都试了一轮，也都无法解决； docker

对paddle也是无语了，兼容性做的如此之差，谁还想继续使用下去（比torch、transformers库安装体验差多了），最后使用docker进行安装 .paddlepaddle.org /install/quick?docurl=/documentation/docs/zh/install/docker/linux-docker.html

docker pull nvidia-docker pull registry.baidubce /paddlepaddle/paddle:2.5.2-gpu-cuda11.7-cudnn8.4-trt8.4 docker run docker rundocker run --gpus=all --name docker_paddle -it -v /mnt:/mnt registry.baidub ce /paddlepaddle/paddle:2.5.2-gpu-cuda11.7-cudnn8.4-trt8.4 /bin/bash --name paddle_docker -it -v /mnt:/mnt registry.baidubce /paddlepaddle/paddle:2.5.2-gpu-cuda11.7-cudnn8.4-trt8.4 /bin/bash 测试成功 λ 9d35c036063b /home python Python 3.7.14 (default, Sep 8 2022, 00:06:44) [GCC 7.5.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import paddle grep: warning: GREP_OPTIONS is deprecated; please use an alias or script >>> paddle.utils.run_check() Running verify PaddlePaddle program ... I1104 10:41:01.608309 12 interpretercore.cc:237] New Executor is Running. W1104 10:41:01.608773 12 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.9, Driver API Version: 12.3, Runtime API Version: 11.7 W1104 10:41:02.405509 12 gpu_resources.cc:149] device: 0, cuDNN Version: 8.4. I1104 10:41:12.111374 12 interpreter_util.cc:518] Standalone Executor is Used. PaddlePaddle works well on 1 GPU. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now. >>>